Document Type
Article
Publication Date
1-1-2015
Abstract
This paper proposes a weighting factor optimization method in predictive control algorithm for torque ripple reduction in an induction motor fed by an indirect matrix converter (IMC). In this paper, the torque ripple behavior is analyzed to validate the proposed weighting factor optimization method in the predictive control platform and shows the effectiveness of the system. Therefore, an optimization method is adopted here to calculate the optimum weighting factor corresponds to minimum torque ripple and is compared with the results of conventional weighting factor based predictive control algorithm. The predictive control algorithm selects the optimum switching state that minimizes a cost function based on optimized weighting factor to actuate the indirect matrix converter. The conventional and introduced weighting factor optimization method in predictive control algorithm are validated through simulations and experimental validation in DS1104 R&D controller platform and show the potential control, tracking of variables with their respective references and consequently reduces the torque ripple.
Keywords
Ac-ac power conversion, induction motor, matrix converter, predictive control, weighting factor, induction-motor, parameter-estimation, multilevel inverter, power-control, strategy, pwm
Divisions
fac_eng
Funders
University of Malaya through HIR-MOHE UM.C/HIR/MOHE/ENG/17,UMRG RP006E-13 ICT
Publication Title
Journal of Electrical Engineering & Technology
Volume
10
Issue
1
Additional Information
Az1ot Times Cited:0 Cited References Count:40